MiniMax, open weights

# MiniMax-M2.5

> MiniMax-M2.5 by MiniMax, released February 2026. Ranked #188 of 354 with a Noometry Index of 38.3. API: $0.30 in / $1.20 out per M tokens. 205K context. Scores, sources and comparisons.
- Canonical page: https://noometry.com/models/minimax-m2-5
- Last updated: 2026-10-10
- Title: MiniMax-M2.5 Benchmarks, Price & Rank (October 2026)

MiniMax-M2.5 by MiniMax ranks 188th of 354 ranked models on the Noometry Index as of October 2026, with a score of 38.3. Its strongest category is coding, where it ranks 58th. API pricing starts at $0.30 per million input tokens and $1.20 per million output tokens, with a 205K-token context window.

Last verified October 10, 2026

## Specifications

- **Noometry rank:** #188 of 354
- **Index score:** 38.3
- **Evidence:** Confirmed 33 results
- **Provider:** [![](/logos/minimax.svg) MiniMax](https://noometry.com/providers/minimax)
- **Released:** February 12, 2026
- **Weights:** Open weights
- **Reasoning:** Yes
- **Context window:** 205K
- **Max output:** 131K
- **Input price:** $0.30 / M
- **Output price:** $1.20 / M
- **Blended price:** $0.52 / M
- **Output speed:** 49 tokens/s [Kagi](https://help.kagi.com/kagi/ai/llm-benchmark.html)
- **Value:** #80 of 219
- **Knowledge cutoff:** June 2025
- **Input:** text
- **Hugging Face:** [MiniMaxAI/MiniMax-M2.5](https://huggingface.co/MiniMaxAI/MiniMax-M2.5)

## Category scores

Each category score combines every public result we have in that category.

MiniMax-M2.5 category scores

1.  Coding 48.1
2.  Agentic & Tool Use 30.4
3.  Reasoning 17.5
4.  Math 26.9
5.  Knowledge 39.2
6.  Multilingual 47.1
7.  Instruction Following 71.5
8.  Long Context 37.5
9.  Writing & Preference 53.9
10.  020406080

MiniMax-M2.5 category ranks
| Category | Score | Rank | Results |
| --- | --- | --- | --- |
| [Coding](https://noometry.com/best/coding) | 48.1 | #58 | 4 |
| [Agentic & Tool Use](https://noometry.com/best/agentic) | 30.4 | #77 | 1 |
| [Reasoning](https://noometry.com/best/reasoning) | 17.5 | #292 | 5 |
| [Math](https://noometry.com/best/math) | 26.9 | #253 | 2 |
| [Knowledge](https://noometry.com/best/knowledge) | 39.2 | #135 | 2 |
| [Multilingual](https://noometry.com/best/multilingual) | 47.1 | #152 | 1 |
| [Instruction Following](https://noometry.com/best/instruction-following) | 71.5 | #148 | 1 |
| [Long Context](https://noometry.com/best/long-context) | 37.5 | #216 | 3 |
| [Writing & Preference](https://noometry.com/best/writing) | 53.9 | #153 | 4 |

## Strengths and weaknesses

Categories where MiniMax-M2.5 places highest and lowest among the models ranked in each, with its score against that category's median.

### Strongest categories

MiniMax-M2.5: strongest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Coding](https://noometry.com/best/coding) | 48.1 | +9.3 | #58 of 340, top 18% |
| [Knowledge](https://noometry.com/best/knowledge) | 39.2 | +1.9 | #135 of 314, top 43% |
| [Instruction Following](https://noometry.com/best/instruction-following) | 71.5 | +0.2 | #148 of 305, top 49% |

### Weakest categories

MiniMax-M2.5: weakest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Reasoning](https://noometry.com/best/reasoning) | 17.5 | −6.1 | #292 of 350, top 84% |
| [Math](https://noometry.com/best/math) | 26.9 | −9.6 | #253 of 327, top 78% |
| [Long Context](https://noometry.com/best/long-context) | 37.5 | −3.5 | #216 of 296, top 73% |

## Closest competitors

The models ranked just above and below MiniMax-M2.5. When scores are this close, price and speed are often the better way to choose.

Models ranked closest to MiniMax-M2.5
| Model | Rank | Score | Blended $/M | Speed |  |
| --- | --- | --- | --- | --- | --- |
| [Hunyuan Large 2025 02 10](https://noometry.com/models/hunyuan-large) | #184 | 38.6 | — | — | [Compare](https://noometry.com/compare/hunyuan-large-vs-minimax-m2-5) |
| [Trinity Large Thinking](https://noometry.com/models/trinity-large-thinking) | #185 | 38.6 | $0.39 | — | [Compare](https://noometry.com/compare/minimax-m2-5-vs-trinity-large-thinking) |
| [GPT-5.1-Codex](https://noometry.com/models/gpt-5-1-codex) | #186 | 38.6 | $3.44 | — | [Compare](https://noometry.com/compare/gpt-5-1-codex-vs-minimax-m2-5) |
| [Sonar](https://noometry.com/models/sonar) | #187 | 38.5 | $1 | — | [Compare](https://noometry.com/compare/minimax-m2-5-vs-sonar) |
| [Nova Premier 1.0](https://noometry.com/models/nova-premier-1-0) | #189 | 38.3 | $5 | 9 | [Compare](https://noometry.com/compare/minimax-m2-5-vs-nova-premier-1-0) |
| [Qwen3-Coder 480B-A35B Instruct](https://noometry.com/models/qwen3-coder-480b-a35b-instruct) | #190 | 38.1 | $3 | 67 | [Compare](https://noometry.com/compare/minimax-m2-5-vs-qwen3-coder-480b-a35b-instruct) |
| [Olmo 3.1 32b Think](https://noometry.com/models/olmo-3-1-32b-think) | #191 | 37.9 | — | — | [Compare](https://noometry.com/compare/minimax-m2-5-vs-olmo-3-1-32b-think) |
| [GPT-5-Codex](https://noometry.com/models/gpt-5-codex) | #192 | 37.9 | $3.44 | 95 | [Compare](https://noometry.com/compare/gpt-5-codex-vs-minimax-m2-5) |

Sponsored placements are available on pages like this one. [Advertise on Noometry](https://noometry.com/advertise)

## Benchmark results

Every published result we track, with its source. Bold rows are the ones used for ranking; where several exist we prefer independent runs over self-reported numbers.

### Coding

MiniMax-M2.5 Coding benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [SWE-bench Verified (bash only)](https://noometry.com/benchmarks/swe-bench-bash-only) | 75.8% | #3 of 39, top 8% | high | [SWE-bench](https://www.swebench.com/) | 2026-02-17 |
| [LMArena WebDev](https://noometry.com/benchmarks/arena-webdev) | 1387 | #78 of 113, top 70% |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| [SWE-bench Multilingual](https://noometry.com/benchmarks/swe-bench-multilingual) | 68.3% | #6 of 13, top 47% |  | [SWE-bench](https://www.swebench.com/) | 2026-02-16 |
| [LMArena Coding](https://noometry.com/benchmarks/arena-coding) | 1381 | #148 of 294, top 51% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [ALE-Bench](https://noometry.com/benchmarks/ale-bench) | 618.17 | #79 of 105, top 76% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Agentic & Tool Use

MiniMax-M2.5 Agentic & Tool Use benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [Terminal-Bench](https://noometry.com/benchmarks/terminal-bench) | 42.7% | #23 of 41, top 57% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [Vending-Bench 2](https://noometry.com/benchmarks/vending-bench-2) | \-23.16 | #59 of 60, top 99% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Reasoning

MiniMax-M2.5 Reasoning benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [ARC-AGI-2](https://noometry.com/benchmarks/arc-agi-2) | 4.9% | #58 of 83, top 70% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [Kagi LLM Benchmark](https://noometry.com/benchmarks/kagi-reasoning) | 55.2% | #51 of 99, top 52% |  | [Kagi LLM Benchmark](https://help.kagi.com/kagi/ai/llm-benchmark.html) |  |
| [NYT Connections (extended)](https://noometry.com/benchmarks/nyt-connections) | 16.8% | #80 of 91, top 88% |  | [Lech Mazur benchmarks](https://github.com/lechmazur/nyt-connections) |  |
| [ARC-AGI-1](https://noometry.com/benchmarks/arc-agi-1) | 63.7% | #49 of 83, top 60% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena Hard Prompts](https://noometry.com/benchmarks/arena-hard-prompts) | 1372 | #145 of 297, top 49% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [Epoch Capabilities Index](https://noometry.com/benchmarks/epoch-capabilities-index) | 146.68 | #70 of 213, top 33% |  | [Epoch AI](https://epoch.ai/eci) | 2026-02-12 |

### Math

MiniMax-M2.5 Math benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [ProofBench](https://noometry.com/benchmarks/proofbench) | 4% | #71 of 77, top 93% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena Math](https://noometry.com/benchmarks/arena-math) | 1378 | #145 of 285, top 51% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Knowledge

MiniMax-M2.5 Knowledge benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [Vectara Hallucination Rate](https://noometry.com/benchmarks/vectara-hallucination) (lower is better) | 9.1% | #42 of 96, top 44% |  | [Vectara Hallucination Leaderboard](https://github.com/vectara/hallucination-leaderboard) |  |
| [LMArena Expert](https://noometry.com/benchmarks/arena-expert) | 1379 | #138 of 273, top 51% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Multilingual

MiniMax-M2.5 Multilingual benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Non-English](https://noometry.com/benchmarks/arena-non-english) | 1338 | #152 of 297, top 52% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Chinese](https://noometry.com/benchmarks/arena-chinese) | 1393 | #141 of 285, top 50% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena French](https://noometry.com/benchmarks/arena-french) | 1362 | #141 of 223, top 64% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena German](https://noometry.com/benchmarks/arena-german) | 1362 | #123 of 231, top 54% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Japanese](https://noometry.com/benchmarks/arena-japanese) | 1171 | #169 of 211, top 81% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Korean](https://noometry.com/benchmarks/arena-korean) | 1232 | #151 of 213, top 71% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Russian](https://noometry.com/benchmarks/arena-russian) | 1358 | #142 of 283, top 51% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Spanish](https://noometry.com/benchmarks/arena-spanish) | 1354 | #141 of 226, top 63% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Instruction Following

MiniMax-M2.5 Instruction Following benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Instruction Following](https://noometry.com/benchmarks/arena-instruction-following) | 1353 | #143 of 298, top 48% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Long Context

MiniMax-M2.5 Long Context benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [CL-bench](https://noometry.com/benchmarks/cl-bench) | 11.4% | #19 of 19, top 100% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [CL-bench Life](https://noometry.com/benchmarks/cl-bench-life) | 6.3% | #13 of 13, top 100% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena Longer Query](https://noometry.com/benchmarks/arena-longer-query) | 1366 | #141 of 291, top 49% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Writing & Preference

MiniMax-M2.5 Writing & Preference benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Text](https://noometry.com/benchmarks/arena-text) | 1359 | #151 of 297, top 51% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Creative Writing](https://noometry.com/benchmarks/arena-creative-writing) | 1331 | #148 of 295, top 51% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [EQ-Bench Creative Writing](https://noometry.com/benchmarks/eqbench-creative-writing) | 1361 | #74 of 115, top 65% |  | [EQ-Bench](https://eqbench.com/creative_writing.html) |  |
| [LMArena Multi-Turn](https://noometry.com/benchmarks/arena-multi-turn) | 1364 | #146 of 295, top 50% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

## API pricing by provider

MiniMax-M2.5 API prices
| Route | Input $/M | Output $/M | Cached input $/M | Checked |
| --- | --- | --- | --- | --- |
| [bedrock](https://docs.aws.amazon.com/bedrock/latest/userguide/models-supported.html) | $0.30 | $1.20 | — | 2026-10-10 |
| [deepinfra](https://deepinfra.com/models) | $0.15 | $1.15 | $0.03 | 2026-10-10 |
| [minimax](https://platform.minimax.io/docs/guides/quickstart) | $0.30 | $1.20 | $0.03 | 2026-10-10 |
| [openrouter](https://openrouter.ai/minimax/minimax-m2.5) | $0.27 | $1.08 | $0.027 | 2026-10-10 |
| [together](https://docs.together.ai/docs/serverless-models) | $0.30 | $1.20 | $0.06 | 2026-10-10 |

[All MiniMax API prices →](https://noometry.com/llm-pricing/minimax) [Estimate your cost →](https://noometry.com/tools/cost-calculator)

## Compare MiniMax-M2.5

-   [MiniMax-M2.5 vs MiniMax-M2.1](https://noometry.com/compare/minimax-m2-1-vs-minimax-m2-5)
-   [MiniMax-M2.5 vs Sonar](https://noometry.com/compare/minimax-m2-5-vs-sonar)
-   [MiniMax-M2.5 vs Nova Premier 1.0](https://noometry.com/compare/minimax-m2-5-vs-nova-premier-1-0)
-   [MiniMax-M2.5 vs GPT-5.1-Codex](https://noometry.com/compare/gpt-5-1-codex-vs-minimax-m2-5)
-   [MiniMax-M2.5 vs Qwen3-Coder 480B-A35B Instruct](https://noometry.com/compare/minimax-m2-5-vs-qwen3-coder-480b-a35b-instruct)
-   [MiniMax-M2.5 vs Trinity Large Thinking](https://noometry.com/compare/minimax-m2-5-vs-trinity-large-thinking)
-   [MiniMax-M2.5 vs Olmo 3.1 32b Think](https://noometry.com/compare/minimax-m2-5-vs-olmo-3-1-32b-think)
-   [MiniMax-M2.5 vs GPT-6 Astra](https://noometry.com/compare/gpt-6-astra-vs-minimax-m2-5)
-   [MiniMax-M2.5 vs Claude Fable 5.1](https://noometry.com/compare/claude-fable-5-1-vs-minimax-m2-5)
-   [MiniMax-M2.5 vs Gemini 3.8 Flash](https://noometry.com/compare/gemini-3-8-flash-vs-minimax-m2-5)
-   [MiniMax-M2.5 vs Kimi K3](https://noometry.com/compare/kimi-k3-vs-minimax-m2-5)
-   [MiniMax-M2.5 vs Grok 4.6](https://noometry.com/compare/grok-4-6-vs-minimax-m2-5)
-   [MiniMax-M2.5 vs Qwen3.8 Max](https://noometry.com/compare/minimax-m2-5-vs-qwen3-8-max)
-   [MiniMax-M2.5 vs GLM-5.3](https://noometry.com/compare/glm-5-3-vs-minimax-m2-5)

## Other MiniMax models

-   [MiniMax-M3](https://noometry.com/models/minimax-m3)43.8
-   [MiniMax M1](https://noometry.com/models/minimax-m1)40.3
-   [MiniMax-M2.1](https://noometry.com/models/minimax-m2-1)38.9
-   [MiniMax-M2.7](https://noometry.com/models/minimax-m2-7)37.7
-   [MiniMax-M2](https://noometry.com/models/minimax-m2)37.4
-   [MiniMax-01](https://noometry.com/models/minimax-01)
-   [MiniMax-M2.5-highspeed](https://noometry.com/models/minimax-m2-5-highspeed)
-   [MiniMax-M2.7-highspeed](https://noometry.com/models/minimax-m2-7-highspeed)

## Frequently asked questions

### How good is MiniMax-M2.5?

MiniMax-M2.5 by MiniMax ranks 188th of 354 ranked models on the Noometry Index as of October 2026, with a score of 38.3. Its strongest category is coding, where it ranks 58th. API pricing starts at $0.30 per million input tokens and $1.20 per million output tokens, with a 205K-token context window.

### How much does MiniMax-M2.5 cost?

MiniMax-M2.5 costs $0.30 per million input tokens and $1.20 per million output tokens on MiniMax's own API, with cached input at $0.03.

### What is MiniMax-M2.5's context window?

MiniMax-M2.5 accepts up to 205K tokens of input and can write up to 131K tokens in one response.

### Is MiniMax-M2.5 open source?

Yes. MiniMax-M2.5's weights are downloadable from Hugging Face (MiniMaxAI/MiniMax-M2.5); check the license for commercial terms.

### How fast is MiniMax-M2.5?

MiniMax-M2.5 generated about 49 output tokens per second in the Kagi LLM Benchmark's timed runs. Speed varies by provider, load and reasoning effort.

### What are MiniMax-M2.5's strengths and weaknesses?

Relative to other ranked models, MiniMax-M2.5 places best in coding, knowledge, instruction following and lowest in reasoning, math, long context.

### What is MiniMax-M2.5 best at?

Its best category is coding, where it ranks 58th on Noometry.

### Cite this page

Noometry. (2026). MiniMax-M2.5 benchmarks and pricing. Retrieved October 10, 2026, from https://noometry.com/models/minimax-m2-5

Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/models/minimax-m2-5.md).